Job Reference
471_24_CS_CAOS_RE1
Position
Research Engineer - Statistical for Critical Embedded Systems (RE1)
Data de tancament
Dimecres, 31 Juliol, 2024
Reference: 471_24_CS_CAOS_RE1
Job title: Research Engineer - Statistical for Critical Embedded Systems (RE1)
About BSC
The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries.
Look at the BSC experience:
BSC-CNS YouTube Channel
Let's stay connected with BSC Folks!
We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured.
We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.
If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.
Look at the BSC experience:
BSC-CNS YouTube Channel
Let's stay connected with BSC Folks!
We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured.
We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.
If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.
Context And Mission
The Computer Architecture and Operating System group at the Barcelona Supercomputing Center aims at carrying out research on programming models for critical embedded systems in charge of controlling fundamental parts of cars, airplanes and satellites. Our work is mainly done in the context of bilateral projects with several processor companies as well as several European-funded projects. For a complete list of publications of the group in the last years, please visit: www.bsc.es/caos
The objective of this position is to work in the context of several European and bilateral Projects on high-performance real-time AI-based frameworks as part of a young and dynamic team researching on computer architecture (processors and accelerators), operating system support, and statistical and AI frameworks. In particular, the candidate will research and develop statistical analysis focused on solving the timing challenges of real-time AI-based frameworks. The current challenges involve dealing with high-dimensional data in order to bring hardware explainability in mathematical terms. The candidate will also work on synthetic hardware models which will provide insight into real-hardware processes. The candidate will be expected to propose new methodologies based on those challenges and/or improve the state-of-the-art.
The candidate is expected to have conducted his/her studies on related topics to real-time, AI or mathematical and statistical techniques. Experience is welcome but not mandatory. The candidate will join a team of several people helping him/her to familiarize with the needed tools and developments for a smooth ramp up process. This position offers the possibility to collaborate with research institutions and industry from several European locations, thus offering enriching experiences and opportunities to learn.
The objective of this position is to work in the context of several European and bilateral Projects on high-performance real-time AI-based frameworks as part of a young and dynamic team researching on computer architecture (processors and accelerators), operating system support, and statistical and AI frameworks. In particular, the candidate will research and develop statistical analysis focused on solving the timing challenges of real-time AI-based frameworks. The current challenges involve dealing with high-dimensional data in order to bring hardware explainability in mathematical terms. The candidate will also work on synthetic hardware models which will provide insight into real-hardware processes. The candidate will be expected to propose new methodologies based on those challenges and/or improve the state-of-the-art.
The candidate is expected to have conducted his/her studies on related topics to real-time, AI or mathematical and statistical techniques. Experience is welcome but not mandatory. The candidate will join a team of several people helping him/her to familiarize with the needed tools and developments for a smooth ramp up process. This position offers the possibility to collaborate with research institutions and industry from several European locations, thus offering enriching experiences and opportunities to learn.
Key Duties
- Contribute to the research and application of AI and statistical techniques to modelling aspects of AI-based control applications in real-time edge devices
- Develop statistical techniques and tools to bring insights to the analysis of complex high-performant hardware in critical systems for software specification, design, implementation, verification and validation; and the disruptive and innovative nature of deep learning software.
Requirements
-
Education
- Degree in Mathematics, Applied Statistics, or Physics
-
Essential Knowledge and Professional Experience
- Recognized experience in statistical analysis
- Experience with Mathematical Modelling
- Experience with real-time edge AI systems
- Experience with R and Python
-
Additional Knowledge and Professional Experience
- Experience in software timing analysis in commercial and academic environments
-
Competences
- Problem-solving, pro-active, result-oriented work attitude
- Good communication skills including a good command of the English language (written and spoken)
- Ability to take initiative, prioritize and work under set deadlines pressure
- Ability to work independently and in a team
Conditions
- The position will be located at BSC within the Computer Sciences Department
- We offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures
- Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration
- Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
- Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
- Starting date: 01/09/2024
Applications procedure and process
All applications must be made through BSC website and contain:
A full CV in English including contact details
A Cover Letter with a statement of interest in English, including two contacts for further references - Applications without this document will not be considered
In accordance with the OTM-R principles, a gender-balanced recruitment panel is formed for every vacancy at the beginning of the process. After reviewing the content of the applications, the panel will start the interviews, with at least one technical and one administrative interview. A profile questionnaire as well as a technical exercise may be required during the process.
The panel will make a final decision and all candidates who had contacts with them will receive a feedback with details on the acceptance or rejection of their profile.
At BSC we are seeking continuous improvement in our recruitment processes, for any suggestions or feedback/complaints about our Recruitment Processes, please contact recruitment [at] bsc [dot] es.
For more information follow this link
In accordance with the OTM-R principles, a gender-balanced recruitment panel is formed for every vacancy at the beginning of the process. After reviewing the content of the applications, the panel will start the interviews, with at least one technical and one administrative interview. A profile questionnaire as well as a technical exercise may be required during the process.
The panel will make a final decision and all candidates who had contacts with them will receive a feedback with details on the acceptance or rejection of their profile.
At BSC we are seeking continuous improvement in our recruitment processes, for any suggestions or feedback/complaints about our Recruitment Processes, please contact recruitment [at] bsc [dot] es.
For more information follow this link
Deadline
The vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.
OTM-R principles for selection processes
BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R). This is applied for any potential candidate in all our processes, for example by creating gender-balanced recruitment panels and recognizing career breaks etc.
BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
For more information follow this link
BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
For more information follow this link